Research papers are the blueprint of modern AI: While frameworks handle execution, white papers reveal the core architectures, optimization techniques, and breakthroughs driving the next generation of LLMs and RAG systems.. 📑 In This Post Large Language Models Prompt Engineering Retrieval-Augmented Generation (RAG) AI Agents & Tool Use Deep Learning Fundamentals Reinforcement Learning AI Coding Evaluation & Benchmarks 📈 Stats & Downloadable List 📚 References 1. Large Language Models This category covers new foundation-model releases and the architectural or serving tricks that make them cheaper to run — the plumbing that everything else in this post ultimately sits on top of. Paper Title Lab / Authors Date Link Contribution Hunyuan-A13B Technical Report Tencent Hunyuan Sep 23, 2026 arXiv An open Mixture-of-Experts model that activates only 13B of its 80...

Between August 12 and September 13, 2026, arXiv's AI categories didn't slow down for anyone's summer — and the single paper that made the most people stop scrolling was NVIDIA's Nemotron team quietly reporting that a post-trained language model outscored the top human contestant at the 2026 International Olympiad in Informatics. Alongside it, a month's worth of work landed on agent "harnesses" that train themselves, quantization math that finally explains why shrinking a model doesn't break it, and a provocative framing of LLMs as a "cognitive virus" that got researchers arguing across every timeline. 🧵 Why should an AI engineer care about a five-week window instead of waiting for the "important" papers to surface over the next two years? Because a lot of what ships in your stack next quarter — the RAG safety patterns, the RLVR training tricks, the agent scaffolding — is decided by what's circulating right now , not by what ...

July and August 2026 were two of the busiest months on record for frontier AI research — a 2.8-trillion-parameter open model, a fresh Gemma generation, and a wave of papers rethinking agent harnesses, retrieval, and reasoning transparency all landed within weeks of each other. This post curates the papers from those two months that are getting the most attention right now — measured by Hugging Face community upvotes, arXiv listing activity, and citation by trackers like Papers with Code — across the same ten categories as our landmark-papers post. 📚 A note on how "famous" works for papers that are only weeks old: none of these have had time to accumulate the thousands of citations that made "Attention Is All You Need" or "Chain-of-Thought Prompting" landmarks. What we curated instead is current attention — papers the research community is actively upvoting, discussing, and building on right now. Every entry links to its official ar...